본문 바로가기
HOME> 논문 > 논문 검색상세

논문 상세정보

International journal of medical informatics v.111, 2018년, pp.77 - 82   SCI SCIE
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

Mapping the Dutch SNOMED CT subset to Omaha System, NANDA International and International Classification of Functioning, Disability and Health

Kieft, R.A.M.M. (Dutch Nurses' Association, PO Box 8212, 3503 RE Utrecht, Netherlands ) ; Vreeke, E.M. (Nursing Healthcare Innovation Technology Platform of the Dutch Nurses' Association, PO Box 8212, 3503 RE Utrecht, Netherlands ) ; de Groot, E.M. (Nictiz, Dutch National Release Centre for SNOMED CT, PO Box 19121, 2500 CC The Hague, Netherlands ) ; de Graaf-Waar, H.I. (Dutch Association for Nursing Diagnosis, Interventions and Outcomes, Amsterdam, Netherlands ) ; van Gool, C.H. (WHO Collaborating Centre for the Family of International Classifications in the Netherlands, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, Netherlands ) ; Koster, N. (Terminology Management of the Omaha System (NL version), University of Twente, Netherlands ) ; ten Napel, H. (WHO Collaborating Centre for the Family of International Classifications in the Netherlands, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, Netherlands ) ; Francke, A.L. (Netherlands Institute for Health Services Research (NIVEL), PO Box 1568, 3500 BN Utrecht, Netherlands ) ; Delnoij, D.M.J. (Transparency in ) ;
  • 초록  

    Abstract Background Nurses register data in electronic health records, which can use various terminology and coding systems. The net result is that information cannot be exchanged and reused properly, for example when a patient is transferred from one care setting to another. A nursing subset of patient problems was therefore developed in the Netherlands, based on comparable and exchangeable terms that are used throughout the healthcare sector and elsewhere (semantic interoperability). The purpose of the current research is to develop a mapping between the subset of patient problems and three classifications in order to improve the exchangeability of data. Those classifications are the Omaha System, NANDA International, and ICF (the International Classification of Functioning, Disability and Health). Method Descriptive research using a unidirectional mapping strategy. Results Some 30%–39% of the 119 SNOMED CT patient problems can be mapped one-to-one from the subset onto each separate classification. Between 6% and 8% have been mapped partially to a related term. This is considered to be a one-to-one mapping, although the meanings do not correspond fully. Additionally, 23%–51% of the patient problems could be mapped n-to-one, i.e. more specifically than the classification. Some loss of information will always occur in such exchanges. Between 1% and 4% of the patient problems from the subset are defined less specifically than the problems within the individual classifications. Finally, it turns out that 9%–32% of the terms from the subset of patient problems could not be mapped onto a classification, either because they did not occur in the classification or because they could not be mapped at a higher level. Conclusion To promote the exchange of data, the subset of patient problems has been mapped onto three classifications. Loss of information occurs in most cases when the patient problems are transformed from the subset into a classification. This arises because the classifications are different in structure and in the degree of detail. Structural cooperation between suppliers, healthcare organisations and the experts involved is required in order to determine how the mapping should be used within the electronic health records, and whether it is usable in day-to-day practice. Highlights Multiple classifications are used across healthcare settings. Difficulties arise when nurses want to share and compare information. A Dutch nursing subset of SNOMED CT patient problems has been determined. Its purpose is to develop comparable terms that are used throughout the care sector and can therefore be exchanged. The present study is designed to link SNOMED CT patient problems to three classifications. The findings should make an important contribution to the exchange of nursing information across healthcare settings.


  • 주제어

    SNOMED CT subset of patient problems .   Mapping .   Classifications.  

 활용도 분석

  • 상세보기

    amChart 영역
  • 원문보기

    amChart 영역

원문보기

무료다운로드
  • 원문이 없습니다.

유료 다운로드의 경우 해당 사이트의 정책에 따라 신규 회원가입, 로그인, 유료 구매 등이 필요할 수 있습니다. 해당 사이트에서 발생하는 귀하의 모든 정보활동은 NDSL의 서비스 정책과 무관합니다.

원문복사신청을 하시면, 일부 해외 인쇄학술지의 경우 외국학술지지원센터(FRIC)에서
무료 원문복사 서비스를 제공합니다.

NDSL에서는 해당 원문을 복사서비스하고 있습니다. 위의 원문복사신청 또는 장바구니 담기를 통하여 원문복사서비스 이용이 가능합니다.

이 논문과 함께 출판된 논문 + 더보기